{"total":17,"rows":[{"id":"2110.11181","title":"Sensing Cox Processes via Posterior Sampling and Positive Bases","created":"2021-10-21","cited_by_count":4,"area":null},{"id":"2205.08528","title":"High-dimensional additive Gaussian processes under monotonicity constraints","created":"2022-05-17","cited_by_count":4,"area":null},{"id":"2507.14746","title":"Sampling from Gaussian Processes: A Tutorial and Applications in Global Sensitivity Analysis and Optimization","created":"2025-07-19","cited_by_count":3,"area":null},{"id":"2202.01793","title":"Incorporating Sum Constraints into Multitask Gaussian Processes","created":"2022-02-03","cited_by_count":2,"area":null},{"id":"2206.03034","title":"Relaxed Gaussian process interpolation: a goal-oriented approach to Bayesian optimization","created":"2022-06-07","cited_by_count":2,"area":null},{"id":"2505.24066","title":"Adaptive Resolution for Finite-Rank Gaussian Processes","created":"2025-05-29","cited_by_count":2,"area":null},{"id":"2507.16999","title":"Bayesian preference elicitation for decision support in multiobjective optimization","created":"2025-07-22","cited_by_count":2,"area":null},{"id":"2607.12922","title":"LatentFlow: A General Framework for Conditioning Stochastic Processes","created":"2026-07-14","cited_by_count":2,"area":null},{"id":"2105.09695","title":"Hierarchical Non-Stationary Temporal Gaussian Processes With $L^1$-Regularization","created":"2021-05-20","cited_by_count":1,"area":null},{"id":"2305.16229","title":"Gaussian Processes with State-Dependent Noise for Stochastic Control","created":"2023-05-25","cited_by_count":1,"area":null},{"id":"2107.06473","title":"Spectrum Gaussian Processes Based On Tunable Basis Functions","created":"2021-07-14","cited_by_count":0,"area":null},{"id":"2212.09957","title":"Beyond Surrogate Modeling: Learning the Local Volatility Via Shape Constraints","created":"2022-12-20","cited_by_count":0,"area":null},{"id":"2404.02873","title":"Gaussian Process Regression with Soft Inequality and Monotonicity Constraints","created":"2024-04-03","cited_by_count":0,"area":null},{"id":"2507.03736","title":"Determination of Particle-Size Distributions from Light-Scattering Measurement Using Constrained Gaussian Process Regression","created":"2025-07-04","cited_by_count":0,"area":null},{"id":"2507.06677","title":"Fast Gaussian Processes under Monotonicity Constraints","created":"2025-07-09","cited_by_count":0,"area":null},{"id":"2608.25709","title":"Multi-output Gaussian process prediction of physical fields under linear equality constraints","created":"2026-08-26","cited_by_count":0,"area":null},{"id":"2610.13804","title":"Constrained Probabilistic Numerics: Gaussian Process Solvers for Linear PDEs under Linear Inequality Constraints","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}